opencv/modules/features2d/src/draw.cpp
Hamdi Sahloul ef5579dc86 Merge pull request #12310 from cv3d:chunks/enum_interface
* Cleanup macros and enable expansion of `__VA_ARGS__` for Visual Studio

* Macros for enum-arguments backwards compatibility

* Convert struct Param to enum struct

* Enabled ParamType.type for enum types

* Enabled `cv.read` and `cv.write` for enum types

* Rename unnamed enum to AAKAZE.DescriptorType

* Rename unnamed enum to AccessFlag

* Rename unnamed enum to AgastFeatureDetector.DetectorType

* Convert struct DrawMatchesFlags to enum struct

* Rename unnamed enum to FastFeatureDetector.DetectorType

* Rename unnamed enum to Formatter.FormatType

* Rename unnamed enum to HOGDescriptor.HistogramNormType

* Rename unnamed enum to DescriptorMatcher.MatcherType

* Rename unnamed enum to KAZE.DiffusivityType

* Rename unnamed enum to ORB.ScoreType

* Rename unnamed enum to UMatData.MemoryFlag

* Rename unnamed enum to _InputArray.KindFlag

* Rename unnamed enum to _OutputArray.DepthMask

* Convert normType enums to static const NormTypes

* Avoid conflicts with ElemType

* Rename unnamed enum to DescriptorStorageFormat
2018-09-21 18:12:35 +03:00

249 lines
10 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
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#include "precomp.hpp"
const int draw_shift_bits = 4;
const int draw_multiplier = 1 << draw_shift_bits;
namespace cv
{
/*
* Functions to draw keypoints and matches.
*/
static inline void _drawKeypoint( InputOutputArray img, const KeyPoint& p, const Scalar& color, DrawMatchesFlags flags )
{
CV_Assert( !img.empty() );
Point center( cvRound(p.pt.x * draw_multiplier), cvRound(p.pt.y * draw_multiplier) );
if( !!(flags & DrawMatchesFlags::DRAW_RICH_KEYPOINTS) )
{
int radius = cvRound(p.size/2 * draw_multiplier); // KeyPoint::size is a diameter
// draw the circles around keypoints with the keypoints size
circle( img, center, radius, color, 1, LINE_AA, draw_shift_bits );
// draw orientation of the keypoint, if it is applicable
if( p.angle != -1 )
{
float srcAngleRad = p.angle*(float)CV_PI/180.f;
Point orient( cvRound(cos(srcAngleRad)*radius ),
cvRound(sin(srcAngleRad)*radius )
);
line( img, center, center+orient, color, 1, LINE_AA, draw_shift_bits );
}
#if 0
else
{
// draw center with R=1
int radius = 1 * draw_multiplier;
circle( img, center, radius, color, 1, LINE_AA, draw_shift_bits );
}
#endif
}
else
{
// draw center with R=3
int radius = 3 * draw_multiplier;
circle( img, center, radius, color, 1, LINE_AA, draw_shift_bits );
}
}
void drawKeypoints( InputArray image, const std::vector<KeyPoint>& keypoints, InputOutputArray outImage,
const Scalar& _color, DrawMatchesFlags flags )
{
CV_INSTRUMENT_REGION();
if( !(flags & DrawMatchesFlags::DRAW_OVER_OUTIMG) )
{
if( image.type() == CV_8UC3 )
{
image.copyTo( outImage );
}
else if( image.type() == CV_8UC1 )
{
cvtColor( image, outImage, COLOR_GRAY2BGR );
}
else
{
CV_Error( Error::StsBadArg, "Incorrect type of input image.\n" );
}
}
RNG& rng=theRNG();
bool isRandColor = _color == Scalar::all(-1);
CV_Assert( !outImage.empty() );
std::vector<KeyPoint>::const_iterator it = keypoints.begin(),
end = keypoints.end();
for( ; it != end; ++it )
{
Scalar color = isRandColor ? Scalar(rng(256), rng(256), rng(256)) : _color;
_drawKeypoint( outImage, *it, color, flags );
}
}
static void _prepareImgAndDrawKeypoints( InputArray img1, const std::vector<KeyPoint>& keypoints1,
InputArray img2, const std::vector<KeyPoint>& keypoints2,
InputOutputArray _outImg, Mat& outImg1, Mat& outImg2,
const Scalar& singlePointColor, DrawMatchesFlags flags )
{
Mat outImg;
Size img1size = img1.size(), img2size = img2.size();
Size size( img1size.width + img2size.width, MAX(img1size.height, img2size.height) );
if( !!(flags & DrawMatchesFlags::DRAW_OVER_OUTIMG) )
{
outImg = _outImg.getMat();
if( size.width > outImg.cols || size.height > outImg.rows )
CV_Error( Error::StsBadSize, "outImg has size less than need to draw img1 and img2 together" );
outImg1 = outImg( Rect(0, 0, img1size.width, img1size.height) );
outImg2 = outImg( Rect(img1size.width, 0, img2size.width, img2size.height) );
}
else
{
_outImg.create( size, CV_MAKETYPE(img1.depth(), 3) );
outImg = _outImg.getMat();
outImg = Scalar::all(0);
outImg1 = outImg( Rect(0, 0, img1size.width, img1size.height) );
outImg2 = outImg( Rect(img1size.width, 0, img2size.width, img2size.height) );
if( img1.type() == CV_8U )
cvtColor( img1, outImg1, COLOR_GRAY2BGR );
else
img1.copyTo( outImg1 );
if( img2.type() == CV_8U )
cvtColor( img2, outImg2, COLOR_GRAY2BGR );
else
img2.copyTo( outImg2 );
}
// draw keypoints
if( !(flags & DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS) )
{
Mat _outImg1 = outImg( Rect(0, 0, img1size.width, img1size.height) );
drawKeypoints( _outImg1, keypoints1, _outImg1, singlePointColor, flags | DrawMatchesFlags::DRAW_OVER_OUTIMG );
Mat _outImg2 = outImg( Rect(img1size.width, 0, img2size.width, img2size.height) );
drawKeypoints( _outImg2, keypoints2, _outImg2, singlePointColor, flags | DrawMatchesFlags::DRAW_OVER_OUTIMG );
}
}
static inline void _drawMatch( InputOutputArray outImg, InputOutputArray outImg1, InputOutputArray outImg2 ,
const KeyPoint& kp1, const KeyPoint& kp2, const Scalar& matchColor, DrawMatchesFlags flags )
{
RNG& rng = theRNG();
bool isRandMatchColor = matchColor == Scalar::all(-1);
Scalar color = isRandMatchColor ? Scalar( rng(256), rng(256), rng(256) ) : matchColor;
_drawKeypoint( outImg1, kp1, color, flags );
_drawKeypoint( outImg2, kp2, color, flags );
Point2f pt1 = kp1.pt,
pt2 = kp2.pt,
dpt2 = Point2f( std::min(pt2.x+outImg1.size().width, float(outImg.size().width-1)), pt2.y );
line( outImg,
Point(cvRound(pt1.x*draw_multiplier), cvRound(pt1.y*draw_multiplier)),
Point(cvRound(dpt2.x*draw_multiplier), cvRound(dpt2.y*draw_multiplier)),
color, 1, LINE_AA, draw_shift_bits );
}
void drawMatches( InputArray img1, const std::vector<KeyPoint>& keypoints1,
InputArray img2, const std::vector<KeyPoint>& keypoints2,
const std::vector<DMatch>& matches1to2, InputOutputArray outImg,
const Scalar& matchColor, const Scalar& singlePointColor,
const std::vector<char>& matchesMask, DrawMatchesFlags flags )
{
if( !matchesMask.empty() && matchesMask.size() != matches1to2.size() )
CV_Error( Error::StsBadSize, "matchesMask must have the same size as matches1to2" );
Mat outImg1, outImg2;
_prepareImgAndDrawKeypoints( img1, keypoints1, img2, keypoints2,
outImg, outImg1, outImg2, singlePointColor, flags );
// draw matches
for( size_t m = 0; m < matches1to2.size(); m++ )
{
if( matchesMask.empty() || matchesMask[m] )
{
int i1 = matches1to2[m].queryIdx;
int i2 = matches1to2[m].trainIdx;
CV_Assert(i1 >= 0 && i1 < static_cast<int>(keypoints1.size()));
CV_Assert(i2 >= 0 && i2 < static_cast<int>(keypoints2.size()));
const KeyPoint &kp1 = keypoints1[i1], &kp2 = keypoints2[i2];
_drawMatch( outImg, outImg1, outImg2, kp1, kp2, matchColor, flags );
}
}
}
void drawMatches( InputArray img1, const std::vector<KeyPoint>& keypoints1,
InputArray img2, const std::vector<KeyPoint>& keypoints2,
const std::vector<std::vector<DMatch> >& matches1to2, InputOutputArray outImg,
const Scalar& matchColor, const Scalar& singlePointColor,
const std::vector<std::vector<char> >& matchesMask, DrawMatchesFlags flags )
{
if( !matchesMask.empty() && matchesMask.size() != matches1to2.size() )
CV_Error( Error::StsBadSize, "matchesMask must have the same size as matches1to2" );
Mat outImg1, outImg2;
_prepareImgAndDrawKeypoints( img1, keypoints1, img2, keypoints2,
outImg, outImg1, outImg2, singlePointColor, flags );
// draw matches
for( size_t i = 0; i < matches1to2.size(); i++ )
{
for( size_t j = 0; j < matches1to2[i].size(); j++ )
{
int i1 = matches1to2[i][j].queryIdx;
int i2 = matches1to2[i][j].trainIdx;
if( matchesMask.empty() || matchesMask[i][j] )
{
const KeyPoint &kp1 = keypoints1[i1], &kp2 = keypoints2[i2];
_drawMatch( outImg, outImg1, outImg2, kp1, kp2, matchColor, flags );
}
}
}
}
}